Dataset: 9.3K articles from Wikipedia (CC BY-SA).
More datasets: Wikipedia | CORD-19

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Made by DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin

Deep Learning Technology: Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. The Web Conference 2020 (WWW'20)

Funded by The Federal Ministry for Economic Affairs and Energy; Grant: 01MD19013D, Smart-MD Project, Digital Technologies

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Results for Query ‹ Mycobacterium tuberculosis, susceptibility screening

Tuberculosis – Diagnosis | Latent tuberculosis

Tuberculosis – Diagnosis | Active tuberculosis

Miliary tuberculosis – Diagnosis

Tuberculosis in relation to HIV – Research at molecular level

Extensively drug-resistant tuberculosis – Diagnosis

Mycobacterium avium-intracellulare infection – Diagnosis

Tuberculosis in relation to HIV – Treatment

Mycobacterium avium-intracellulare infection – Diagnosis | HIV infection

Extensively drug-resistant tuberculosis – Prevention

Miliary tuberculosis – Prognosis

Multi-drug-resistant tuberculosis – Prevention

Pneumonia – Diagnosis | Differential diagnosis

Pneumonia – Diagnosis | Classification | Healthcare | Ventilator

Pneumococcal infection – Prevention

Multi-drug-resistant tuberculosis – Treatment

Pneumococcal infection – Diagnosis

Mycobacterium fortuitum – Treatment

Mycobacterium fortuitum – Description

Opportunistic infection – Veterinary treatment

Penicilliosis – Treatment and prognosis

Tuberculous meningitis – Diagnosis | Nucleic acid amplification tests (NAAT)

Lobar pneumonia – Diagnosis

Tuberculous lymphadenitis – Diagnosis

Chronic pulmonary aspergillosis – Diagnosis

Multiple drug resistance – Preventing the emergence of antimicrobial resistance